P D F Extract Kit 1.0 LLM Model

Introduction
The PDF-Extract-Kit-1.0 is a model repository developed by OPENDATALAB for extracting data from PDF documents. This toolkit is available on Hugging Face and offers resources for data extraction processes.

Architecture
The architecture details of PDF-Extract-Kit-1.0 are not specified in the provided information. Users interested in the underlying architecture should refer to the associated GitHub repository for comprehensive insights.

Training
Specific details regarding the training process of PDF-Extract-Kit-1.0 are not included. For training data and methodology, users are encouraged to visit the official GitHub repository linked in the documentation.

Guide: Running Locally
To run PDF-Extract-Kit-1.0 locally, follow these steps:

Install the Hugging Face library:
```
pip install huggingface_hub
```

Download the model using Hugging Face SDK:

from huggingface_hub import snapshot_download
snapshot_download(repo_id='opendatalab/pdf-extract-kit-1.0', local_dir='./', max_workers=20)

Alternatively, clone the repository using Git:

git lfs install
git clone https://huggingface.co/opendatalab/PDF-Extract-Kit-1.0

For enhanced performance, consider leveraging cloud GPUs from providers such as AWS, Google Cloud, or Azure.

License
The PDF-Extract-Kit-1.0 is licensed under the Apache-2.0 License, which permits extensive use, modification, and distribution of the software.

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